Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Peng, Xueqiao, Perrault, Andrew |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Normality-Guided Distributional Reinforcement Learning for Continuous Control
por: Byun, Ju-Seung, et al.
Publicado: (2022)
por: Byun, Ju-Seung, et al.
Publicado: (2022)
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
por: Mao, Yi, et al.
Publicado: (2025)
por: Mao, Yi, et al.
Publicado: (2025)
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
por: Byun, Ju-Seung, et al.
Publicado: (2024)
por: Byun, Ju-Seung, et al.
Publicado: (2024)
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
por: Chen, Xi, et al.
Publicado: (2024)
por: Chen, Xi, et al.
Publicado: (2024)
C2-DPO: Constrained Controlled Direct Preference Optimization
por: Asadi, Kavosh, et al.
Publicado: (2025)
por: Asadi, Kavosh, et al.
Publicado: (2025)
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
por: Byun, Ju-Seung, et al.
Publicado: (2024)
por: Byun, Ju-Seung, et al.
Publicado: (2024)
Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
por: Yao, Guanzi, et al.
Publicado: (2025)
por: Yao, Guanzi, et al.
Publicado: (2025)
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models
por: Chen, Jingyi, et al.
Publicado: (2024)
por: Chen, Jingyi, et al.
Publicado: (2024)
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
por: Qu, Yang, et al.
Publicado: (2024)
por: Qu, Yang, et al.
Publicado: (2024)
Hierarchical Reinforcement Learning with Targeted Causal Interventions
por: Khorasani, Sadegh, et al.
Publicado: (2025)
por: Khorasani, Sadegh, et al.
Publicado: (2025)
Large Scale Constrained Clustering With Reinforcement Learning
por: Schesch, Benedikt, et al.
Publicado: (2024)
por: Schesch, Benedikt, et al.
Publicado: (2024)
Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements
por: Marino, Antonio, et al.
Publicado: (2025)
por: Marino, Antonio, et al.
Publicado: (2025)
Memory Allocation in Resource-Constrained Reinforcement Learning
por: Tamborski, Massimiliano, et al.
Publicado: (2025)
por: Tamborski, Massimiliano, et al.
Publicado: (2025)
Secure Resource Allocation via Constrained Deep Reinforcement Learning
por: Sun, Jianfei, et al.
Publicado: (2025)
por: Sun, Jianfei, et al.
Publicado: (2025)
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
por: Feng, Xinsong, et al.
Publicado: (2025)
por: Feng, Xinsong, et al.
Publicado: (2025)
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies
por: Jain, Maeghal, et al.
Publicado: (2024)
por: Jain, Maeghal, et al.
Publicado: (2024)
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
por: Lu, Yuxiao, et al.
Publicado: (2023)
por: Lu, Yuxiao, et al.
Publicado: (2023)
Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency
por: Luo, Yuxiang, et al.
Publicado: (2026)
por: Luo, Yuxiang, et al.
Publicado: (2026)
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
por: Liu, Zejiao, et al.
Publicado: (2025)
por: Liu, Zejiao, et al.
Publicado: (2025)
Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning
por: Pugliese, Victor Ulisses, et al.
Publicado: (2025)
por: Pugliese, Victor Ulisses, et al.
Publicado: (2025)
Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
por: Stranieri, Francesco, et al.
Publicado: (2025)
por: Stranieri, Francesco, et al.
Publicado: (2025)
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
por: Shah, Sanket, et al.
Publicado: (2023)
por: Shah, Sanket, et al.
Publicado: (2023)
Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement Learning
por: Qi, Jiaju, et al.
Publicado: (2025)
por: Qi, Jiaju, et al.
Publicado: (2025)
Sharper Perturbed-Kullback-Leibler Exponential Tail Bounds for Beta and Dirichlet Distributions
por: Perrault, Pierre
Publicado: (2025)
por: Perrault, Pierre
Publicado: (2025)
Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
por: Giammarino, Vittorio, et al.
Publicado: (2025)
por: Giammarino, Vittorio, et al.
Publicado: (2025)
Predictive Lagrangian Optimization for Constrained Reinforcement Learning
por: Zhang, Tianqi, et al.
Publicado: (2025)
por: Zhang, Tianqi, et al.
Publicado: (2025)
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
por: Gudipaty, Krishna Praneet, et al.
Publicado: (2025)
por: Gudipaty, Krishna Praneet, et al.
Publicado: (2025)
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
por: Wang, Angel, et al.
Publicado: (2026)
por: Wang, Angel, et al.
Publicado: (2026)
SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization
por: Mostafa, Seraj Al Mahmud, et al.
Publicado: (2025)
por: Mostafa, Seraj Al Mahmud, et al.
Publicado: (2025)
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
por: Lee, Jane H., et al.
Publicado: (2025)
por: Lee, Jane H., et al.
Publicado: (2025)
Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning
por: Kortus, Tobias, et al.
Publicado: (2025)
por: Kortus, Tobias, et al.
Publicado: (2025)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
por: Covone, Stefano, et al.
Publicado: (2025)
por: Covone, Stefano, et al.
Publicado: (2025)
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
por: Gao, Shiqing, et al.
Publicado: (2026)
por: Gao, Shiqing, et al.
Publicado: (2026)
Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
por: Park, Giseung, et al.
Publicado: (2026)
por: Park, Giseung, et al.
Publicado: (2026)
Experience Constrained Hierarchical Federated Reinforcement Learning for Large-scale UAV Teams in Hazardous Environments
por: Huang, Qinwei, et al.
Publicado: (2026)
por: Huang, Qinwei, et al.
Publicado: (2026)
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
por: Satheesh, Anirudh, et al.
Publicado: (2025)
por: Satheesh, Anirudh, et al.
Publicado: (2025)
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
por: Zhang, Jing, et al.
Publicado: (2023)
por: Zhang, Jing, et al.
Publicado: (2023)
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
por: Fu, Yongjie, et al.
Publicado: (2025)
por: Fu, Yongjie, et al.
Publicado: (2025)
Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers
por: Fontanesi, Gianluca, et al.
Publicado: (2026)
por: Fontanesi, Gianluca, et al.
Publicado: (2026)
A Scalable Global Optimization Algorithm For Constrained Clustering
por: Chumpitaz-Flores, Pedro, et al.
Publicado: (2025)
por: Chumpitaz-Flores, Pedro, et al.
Publicado: (2025)
Ejemplares similares
-
Normality-Guided Distributional Reinforcement Learning for Continuous Control
por: Byun, Ju-Seung, et al.
Publicado: (2022) -
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
por: Mao, Yi, et al.
Publicado: (2025) -
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
por: Byun, Ju-Seung, et al.
Publicado: (2024) -
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
por: Chen, Xi, et al.
Publicado: (2024) -
C2-DPO: Constrained Controlled Direct Preference Optimization
por: Asadi, Kavosh, et al.
Publicado: (2025)